Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T04:56:04.189968Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2606.06303.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T04:56:04.189968Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
33 of 33 outbound references displayed
External citation measurements
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Observation 6c1ee6ce-cbc7-4ff2-8b37-ffce00e4096c · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction The deterministic estimation (DE) baseline is compared with Monte Carlo (MC) estimation using varying sample sizes (n= 5∼20 )
Reference 2
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Observation 9e18ab5d-6694-49f8-9ce4-c32e9058668f · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unresolved cited work
Reference 3
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Observation 646454b5-851f-48c1-aabb-ac141b58c1a4 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Classifier-Free Diffusion Guidance
Reference 6
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Observation df6e904d-e8f0-4fce-821d-5b6ac60418b8 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Reference 9
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Observation 96900fec-1ccf-4aad-9d40-8e47a01b9b74 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Large Language Diffusion Models
Reference 10
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Observation 7b9d20c5-adc8-4415-a12a-c58400a791d7 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unlocking guidance for discrete state-space diffusion and flow models
Reference 11
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Observation 644ed457-308f-4a77-9f39-edbe8d3d0fa4 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
Reference 12
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Observation e574da2a-b11b-4f6a-94ec-28853fa3a82d · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Aligning Text-to-Image Diffusion Models with Reward Backpropagation
Reference 13
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Observation db37910d-3e5e-4f02-a135-5c19acc842e9 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Simple guidance mechanisms for discrete diffusion models
Reference 15
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Observation 8ff30e73-3b5b-43d6-b7c4-a542f64ca34a · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 16
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Observation b756e3c9-323c-4e53-9781-79b803499f0d · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
Reference 17
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Observation 17a33338-d0df-48c3-9c81-e06098b029f6 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Fine-tuning discrete diffusion models via reward opti- mization with applications to dna and protein design
Reference 18
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Observation df2eb336-8eb9-4b8f-8c61-3370f936d8f2 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Aligning protein generative models with experimental fitness via direct preference optimization.bioRxiv, pp
Reference 19
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Observation 13f77cc8-d0f7-431d-ae67-c6960b0f5eeb · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling
Reference 20
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Observation bbc32442-2b64-4dea-818a-868c66a8a1ba · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unresolved cited work
Reference 21
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Observation 076b1d8b-6207-40fa-bdcf-a5c27f7c0910 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unresolved cited work
Reference 22
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Observation 050bf161-e7a8-4fee-9280-28fd82c53803 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unresolved cited work
Reference 23
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Observation 5bd89e0c-0a5e-41b6-a389-02927a96f52b · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Recently, Ou et al
Reference 24
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Observation 0f43b2ea-30b4-483b-a836-7e05274e1324 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unlike these approaches, our method adopts aplug-and-playfashion
Reference 26
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Observation 1779f09e-4426-42e4-8978-ff83b5b7312c · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction SMC is a general-purpose sampling framework that maintains a population of particles and applies filtering operations during generation to approximate the target distribution
Reference 28
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Observation 556bb296-b220-487e-85db-40a6d031ee65 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction SVDD is a derivative-free guidance method for diffusion models
Reference 29
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Observation ea276ad1-3185-421f-98ea-2847044b3c35 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction TFG-Flow was originally proposed as a training-free guided multimodal flow model that jointly generates continuous and discrete components
Reference 30
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Observation f20b2934-db46-4567-b6ca-57be4133d32a · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding
Reference 2000
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Observation 79d33c1f-8a68-4db2-80d0-47001c43c8cb · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Training diffusion models with reinforcement learning
Reference 2013
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Observation 633906d8-a365-48af-8c28-969def1f3366 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Steering masked discrete diffusion models via discrete denoising posterior prediction
Reference 2014
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Observation b4c08143-ec76-4ba6-ad36-c14e951ba8f2 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction As reported in Tab
Reference 2015
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Observation a746590c-8519-47e7-b21b-de99b5802ac4 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Crafting papers on machine learning
Reference 2017
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Observation 27a00e1c-0978-43c4-bb3f-dae6c1b03a82 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Manifold preserving guided diffusion
Reference 2021
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Observation ed4a91c5-28f3-4cff-8b5a-68bd3deaa5ba · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unresolved cited work
Reference 2022
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Observation a18c278b-74ee-4d9f-80a4-611cb056410d · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Directly fine-tuning diffusion models on differentiable rewards
Reference 2023
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Observation a14b6f03-e278-4448-90ec-83cb21f6e429 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Unresolved cited work
Reference 2024
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Observation 24577a71-fe8d-4d6a-bae9-2ef40443dd9e · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Reference 2025
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Observation e869edf8-d7c3-4a32-bd39-e9f2c84af110 · outbound
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction T., Klasky, M
Reference 2026
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No inbound Pith citation observations are available.